Hao Wang

Orcid: 0000-0001-9921-2078

Affiliations:
  • University of Science and Technology of China, School of Computer Science and Technology, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China


According to our database1, Hao Wang authored at least 62 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning Relation-Enhanced Hierarchical Solver for Math Word Problems.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

A survey on large language models for recommendation.
World Wide Web (WWW), September, 2024

Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements.
ACM Trans. Intell. Syst. Technol., June, 2024

Hierarchical Multi-Modal Attention Network for Time-Sync Comment Video Recommendation.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction.
IEEE Trans. Big Data, February, 2024

DFME: A New Benchmark for Dynamic Facial Micro-Expression Recognition.
IEEE Trans. Affect. Comput., 2024

ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models.
CoRR, 2024

Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation.
CoRR, 2024

Entropy Law: The Story Behind Data Compression and LLM Performance.
CoRR, 2024

Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation.
CoRR, 2024

A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation.
CoRR, 2024

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
CoRR, 2024

Understanding the planning of LLM agents: A survey.
CoRR, 2024

Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

H2LMER: A Cross Frame-Rate Representation Alignment Framework for Micro-expression Recognition.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

A Multi-scale Feature Learning Network with Optical Flow Correction for Micro- and Macro-expression Spotting.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Dataset Regeneration for Sequential Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
TechPat: Technical Phrase Extraction for Patent Mining.
ACM Trans. Knowl. Discov. Data, November, 2023

An Efficient and Robust Semantic Hashing Framework for Similar Text Search.
ACM Trans. Inf. Syst., October, 2023

Model Inversion Attacks Against Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., September, 2023

Federated User Modeling from Hierarchical Information.
ACM Trans. Inf. Syst., April, 2023

Decoupled Representation Learning for Attributed Networks.
IEEE Trans. Knowl. Data Eng., March, 2023

Woodpecker: Hallucination Correction for Multimodal Large Language Models.
CoRR, 2023

More is Better: A Database for Spontaneous Micro-Expression with High Frame Rates.
CoRR, 2023

Differentiable Optimized Product Quantization and Beyond.
Proceedings of the ACM Web Conference 2023, 2023

Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

User Behavior Modeling with Deep Learning for Recommendation: Recent Advances.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

STAN: Spatial-Temporal Awareness Network for Temporal Action Detection.
Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Adaptive Graph Attention Network with Temporal Fusion for Micro-Expressions Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation.
ACM Trans. Inf. Syst., 2022

Causal Narrative Comprehension: A New Perspective for Emotion Cause Extraction.
IEEE Trans. Affect. Comput., 2022

ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition.
Neural Networks, 2022

Winning the CVPR'2022 AQTC Challenge: A Two-stage Function-centric Approach.
CoRR, 2022

Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ABPN: Apex and Boundary Perception Network for Micro- and Macro-Expression Spotting.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Hyperbolic-to-Hyperbolic User Representation with Multi-aspect for Social Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Dependency and Association Enhanced Finding Similar Exercises in Online Education System.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

ProtGNN: Towards Self-Explaining Graph Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Hierarchical Personalized Federated Learning for User Modeling.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Federated Deep Knowledge Tracing.
Proceedings of the WSDM '21, 2021

xLightFM: Extremely Memory-Efficient Factorization Machine.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Motif-based Graph Self-Supervised Learning for Molecular Property Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DisenQNet: Disentangled Representation Learning for Educational Questions.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

GraphMI: Extracting Private Graph Data from Graph Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Neural Mathematical Solver with Enhanced Formula Structure.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Technical Phrase Extraction for Patent Mining: A Multi-level Approach.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Author Contributed Representation for Scholarly Network.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
A United Approach to Learning Sparse Attributed Network Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

Patent Quality Valuation with Deep Learning Models.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Solving link-oriented tasks in signed network via an embedding approach.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2014
Influential nodes selection: a data reconstruction perspective.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2013
A Dataset for Research on Short-Text Conversations.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

A Scalable Approach for General Correlation Clustering.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013


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